The Autoregressive Integrated Moving Average (ARIMA) time series model is used to describe the evolution of a time series of economic or financial data. It can also be used for other kinds of data like rainfall, temperature, etc. It is useful to understand the evolution of these variables over time to be able to predict their future values. It is also used to try to understand the underlying causes of these movements in order to forecast future evolution.